Sensor Performance Evaluation for Long-Lasting EH-WSNs by GSPN Formulation, Considering Seasonal Sunshine Levels and Dual Standby Strategy

In this paper, we propose a generalized stochastic Petri net (GSPN) to model the sensor node (SN) interaction in solar energy harvesting wireless sensor networks. Our GSPN formulation models the energy stored in the SN battery by using the quantization principle. Furthermore, it considers that the s...

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Vydané v:Arabian journal for science and engineering (2011) Ročník 48; číslo 2; s. 1677 - 1691
Hlavní autori: Oukas, Nourredine, Boulif, Menouar
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2023
Springer Nature B.V
Predmet:
Energy harvesting
Engineering
Humanities and Social Sciences
multidisciplinary
Parameter identification
Performance evaluation
Petri nets
Research Article-Computer Engineering and Computer Science
Science
Solar energy
Sunlight
Wireless sensor networks
GSPN modeling
Quantization
Wireless sensor networks
Duty cycle
Solar energy harvesting
ISSN:2193-567X, 1319-8025, 2191-4281
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Shrnutí:In this paper, we propose a generalized stochastic Petri net (GSPN) to model the sensor node (SN) interaction in solar energy harvesting wireless sensor networks. Our GSPN formulation models the energy stored in the SN battery by using the quantization principle. Furthermore, it considers that the sensors’ deployment territory is subject to different sunshine levels. In addition, each SN adopts the double sleeping strategy to cope with solar energy shortage in the nighttime. We conduct a comparative analysis between the proposed model and three others taken from the literature to identify which is best suited to predicting the input parameters that extend the network lifetime to fulfill its long-lasting duty with decent performances.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2193-567X
1319-8025
2191-4281
DOI:10.1007/s13369-022-06970-8